Senior Analytics Engineer, Northbeam

• 5+ years of experience in data analytics or data engineering supporting product teams
• Bachelors degree in a relevant field such as Computer Science, Statistics, Mathematics, or Data Science is preferred
• Strong proficiency with SQL and Python
• Experience with ELT data pipeline tooling and systems (e.g. dbt, Airflow, BigQuery)
• Experience with schema design and evolution for internal data warehouses
• Ownership mindset and an ability to drive projects end-to-end with minimal supervision
• Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams

Desirable

• Northbeam is looking for a Senior Analytics Engineer to join its small but mighty Business Intelligence team. You will be joining a dynamic team of generalists to build and expand the "data backbone" of Northbeam's business operations
• This role reports directly to the CTO
• Own end-to-end internal ELT data pipelines: from API ingestion all the way to self-serve dashboards
• Build and maintain canonical data models and metric definitions (for product adoption, usage, and marketing metrics)
• Build dashboards and shared analytics tools to support decision making, data-driven content, and self-serve BI
• Collaborate with Product, Marketing, and other internal teams to translate business questions into data requirements
• Ensure data quality, consistency, and governance of data pipelines

• The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager.
• Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members.
• The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time